Overview

In most modern enterprises, Business Intelligence & Analytics (BI&A) Systems represent a core enabler of decision-making in that they supply up-to-date and accurate information about all relevant aspects of a company’s planning and operations: from stock levels to sales volumes, from process cycle times to key indicators of corporate performance. Modern BI&A systems leverage beyond reporting and dashboards also advanced analytical functions.  Thus, today, they also play a major role in enabling data-driven products and services.

This course aims to introduce theoretical foundations, concepts, tools, and current practice of BI&A Systems from a managerial and technical perspective.

The course is complemented by an engineering capstone project, where students work in a team with real-world use cases and data in order to create a prototypical Business intelligence & Analytics system using state-of-the-art technologies. This semester we will leverage the Databricks Data Intelligence platform in the exercises and the capstone project.  The capstone project will be carried out in collaboration with Atruvia and focus on a use case  and data from the context of retailing banking.

Learning objectives

• Understand the theoretical foundations of key Business Intelligence & Analytics concepts supporting decision-making
• Explore key capabilities of state-of-the-art Business Intelligence & Analytics Systems
• Learn how to successfully implement and run Business Intelligence & Analytics Systems from multiple perspectives, e.g. architecture, data management, consumption, analytics
• Get hands-on experience by working with Business Intelligence & Analytics Systems with real-world use cases and data 

Prerequisites

This course is limited to 50 places. The capacity limitation is due to the format of the accompanying engineering capstone project. Strong analytical abilities and profound skills in SQL and Python are required. Students have to apply with their CVs and transcripts of records via the WiWi-Portal. The first lecture will present all organizational details and the underlying registration process for the lecture and the capstone project.

The teaching language is English. The assessment will take the form of an examination of a different type (form) in accordance with Section 4, Paragraph 2, No. 3 of the Examination Regulations (SPO). The assessment will consist of a one-hour written exam and the completion of a Capstone project. Details regarding the assessment will be announced during the lecture.

Contact: Niklas Wagner (niklas.wagner@kit.edu)

Course Overview

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Schedule